A wind turbine blade infrared image stitch method based on UAV speed information is proposed for the difficulties in wind turbine blade infrared image stitch. Firstly, the blade mask image is predicted by U-net network to remove the redundant background information. Secondly, the parameters of translation, rotation and scaling are calculated to register the stitched image. Finally, the multiband blend algorithm is used to fuse the stitched images to eliminate the stitching caused by the change of field of view and illumination. The experimental results show that the RMSE of the proposed method in the x gradient direction of the splicing area is less than that of traditional image stitching methods, the stitching success rate is 98. 26%, and the infrared panorama of wind turbine blade is successfully obtained. The multiband blend algorithm is applied to wind turbine blade infrared image fusion, and the results show that the RMSE at the image mosaic is significantly reduced and the transition is smoother.